IDX_01
World Models
Approximating physical constraints via neural substitution for zero-shot VLA simulation.
Status: Active
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Fundamental research in machine learning.
// systems and reinforcement
We are an independent AI research lab. Our fundamental work focuses on scaling reinforcement learning and multi-agent architectures. Our applied engineering provides post-training environments and algorithmic substitution tools for VLA models.
// systems and reinforcement
We are an independent AI research lab. Our fundamental work focuses on scaling reinforcement learning and multi-agent architectures. Our applied engineering provides post-training environments and algorithmic substitution tools for VLA models.
Research Vectors
SYS.ARCHIVE_ACTIVE
architecture
IDX_02
Alignment
Scaling Multi-Agent Reinforcement Learning environments to parameterize alignment friction.
Status: Research
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IDX_03
Systems
Minimizing latency via neural approximation across distributed GPU clusters.
Status: Deployed
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